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An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway (2022)
Conference Proceeding
Hamer, M. J., Calver, G. S., & Neves, L. A. C. (in press). An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway.

Bridges are critical assets for the safe, reliable, and functional operation of transportation networks. Infrastructure asset managers are responsible for ensuring that these bridges adhere to rigorous safety standards using the finite resources avai... Read More about An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway.

Using a random road graph model to understand road networks robustness to link failures (2020)
Journal Article
Sohouenou, P. Y., Christidis, P., Christodoulou, A., Neves, L. A., & Presti, D. L. (2020). Using a random road graph model to understand road networks robustness to link failures. International Journal of Critical Infrastructure Protection, 29, https://doi.org/10.1016/j.ijcip.2020.100353

Disruptions to the transport system have a greater impact on society and the economy now than ever before due to the increased interconnectivity and interdependency of the economic sectors. The ability of transport systems to maintain functionality d... Read More about Using a random road graph model to understand road networks robustness to link failures.

Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study (2018)
Journal Article
Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & Mesgarpour, M. (2019). Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study. Transportation Research Part D: Transport and Environment, 67, 109-118. https://doi.org/10.1016/j.trd.2018.11.001

This paper presents an assessment of the accuracy of the HDM-4 fuel consumption model calibrated for the United Kingdom and evaluates the need for further calibration of the model. The study focuses on HGVs and compares estimates made by HDM-4 to mea... Read More about Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study.